Do you ever wonder how large-scale applications handle the enormous amounts of data that they generate? The scale of such applications requires powerful data storage set-ups as well as equally capable data processing sequences to get the best out of the data that they can acquire. Data Analysis is the process that defines how a business utilizes its data to

Organizations and companies collect your data via their products. This may include application data like transactions and user details, or feedback data such as user activity and crash logs. With hundreds of thousands of application instances generating data, it can become difficult to analyze the complete dump. This is where Big Data comes in. In this guide, we're going to talk

Take a moment to think about how much data Amazon has to deal with every day. Amazon has to track customer purchases, refunds, make recommendations for products, and update delivery dates at different times of the day. How do you think Amazon keeps up with all of this data? The answer lies, at least in part, in the field of

Data mining is defined as the practice of analyzing large databases in order to generate new information. Data mining techniques are used in various sectors, including retail, banking, medicine, television and radio. Data mining is an intersection of machine learning (ML) and statistics. Professionals who work in the data mining field look through large volumes of data or datasets to identify

Data analysis is everywhere in the world. Governments are using data analysis to monitor the spread of the COVID-19 pandemic. Streaming sites leverage data to recommend new movies for you to watch. Shopping sites use data analysis to identify trends in what you purchase so that they can recommend other items you may want to buy. But you may be wondering

Data is a crucial part of modern businesses. Using data, businesses can make more informed decisions about their products. For instance, an e-commerce business can use data on best-selling products to decide what type of product should be released next. Organizations like governments and charities also make extensive use of data. You may find yourself asking: how is all the information

Data visualization, a method of presenting data through charts, is everywhere. Governments have used charts to show various data points about the COVID-19 pandemic, while businesses use charts to show sales information, customer growth, and market sizes. By using charts, data can be visible — accessible — to anyone, not just those who have analyzed and prepared that data. Charts are

With so many data science and analysis tools on the market, you may be wondering which ones deserve your attention and which are worth learning about. These are excellent questions and deserve a good answer. In this guide, we're going to discuss seven of the most important data analysis tools used by data professionals. We will explain what each tool is

Every second of the day new data is created. When you open many websites, for example, visitation data is created. That data gives the company who owns the website an insight into how many people are viewing their web pages. There are a lot of jobs in data science, which has become part of every major industry that uses technology. One